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DBMS > IBM Db2 Event Store vs. Kdb vs. LMDB vs. MonetDB

System Properties Comparison IBM Db2 Event Store vs. Kdb vs. LMDB vs. MonetDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKdb  Xexclude from comparisonLMDB  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesHigh performance Time Series DBMSA high performant, light-weight, embedded key-value database libraryA relational database management system that stores data in columns
Primary database modelEvent Store
Time Series DBMS
Time Series DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storekx.comwww.symas.com/­symas-embedded-database-lmdbwww.monetdb.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storecode.kx.comwww.lmdb.tech/­docwww.monetdb.org/­Documentation
DeveloperIBMKx Systems, a division of First Derivatives plcSymasMonetDB BV
Initial release20172000 infokdb was released 2000, kdb+ in 200320112004
Current release2.03.6, May 20180.9.32, January 2024Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial infofree 32-bit versionOpen SourceOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++qCC
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Linux
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesno
Secondary indexesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeSQL-like query language (q)noyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnoyes, in SQL, C, R
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationnonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StoreKdbLMDBMonetDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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IBM Db2 Event StoreKdbLMDBMonetDB
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